This week, we’ll be featuring a series of shows recorded from Strange Loop, a great developer-focused conference that takes place every year right in my backyard! The conference is a multi-disciplinary melting pot of developers and thinkers across a variety of fields, and we’re happy to be able to bring a bit of it to those of you who couldn’t make it in person! In this episode, I speak with Allison Parrish, Poet and Professor at NYU in the Interactive Telecommunications dept. Allison’s work centers around generated poetry, via artificial intelligence and machine learning. She joins me prior to her conference talk on “Experimental Creative Writing with the Vectorized Word”. In our time together, we discuss some of her research into computational poetry generation, actually performing AI-produced poetry, and some of the methods and processes she uses for generating her work.

Allison’s work centers around generated poetry, via artificial intelligence and machine learning. She joins me prior to her conference talk on “Experimental Creative Writing with the Vectorized Word”. In our time together, we discuss some of her research into computational poetry generation, actually performing AI-produced poetry, and some of the methods and processes she uses for generating her work.

Thanks to our Sponsor

We’d like to send a big shoutout to Nexosis, who helped make this series possible. Nexosis is a company of developers focused on providing easy access to machine learning. The Nexosis Machine Learning API meets developers where they’re at, regardless of their mastery of data science, so they can start coding up predictive applications today, in their preferred programming language. It’s as simple as loading your data and selecting the type of problem you want to solve. Their automated platform trains and selects the best model fit for your data and then outputs predictions. Be sure to also get your free Nexosis API key and discover how to start leveraging machine learning in your next project at nexosis.com/twiml.